Triple
T21241477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wood Brothers Racing |
E523483
|
entity |
| Predicate | pitStopInnovation |
P1484
|
FINISHED |
| Object | developing choreographed high-speed pit stops |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: developing choreographed high-speed pit stops | Statement: [Wood Brothers Racing, pitStopInnovation, developing choreographed high-speed pit stops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pitStopInnovation Context triple: [Wood Brothers Racing, pitStopInnovation, developing choreographed high-speed pit stops]
-
A.
innovation
chosen
Indicates the introduction or development of something new or significantly improved compared to existing methods, products, or ideas.
-
B.
innovationFrom
Indicates that something originates, arises, or is derived as an innovation from a particular source or prior entity.
-
C.
penaltyKickInnovation
Indicates an action where a player attempts a novel or unconventional technique when taking a penalty kick.
-
D.
portraysInnovation
Indicates that one entity depicts, represents, or conveys the idea of innovation in relation to another entity.
-
E.
innovationArea
Indicates the thematic or domain-specific field in which an innovation is focused or applied.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b513b89c81908b27147e91368db2 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e735239f48819091ffe518b1aed2e8 |
completed | April 21, 2026, 8:28 a.m. |
| PD | Predicate disambiguation | batch_69e5f61239708190ab7b3c83ae848a0d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:47 p.m.